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hardhat  

Construct Modeling Packages
View on CRAN: Click here


Download and install hardhat package within the R console
Install from CRAN:
install.packages("hardhat")

Install from Github:
library("remotes")
install_github("cran/hardhat")

Install by package version:
library("remotes")
install_version("hardhat", "1.4.0")



Attach the package and use:
library("hardhat")
Maintained by
Hannah Frick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-16
Latest Update: 2023-03-30
Description:
Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
How to cite:
Hannah Frick (2019). hardhat: Construct Modeling Packages. R package version 1.4.0, https://cran.r-project.org/web/packages/hardhat. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-12-16 11:00), 0.1.1 (2020-01-09 00:01), 0.1.2 (2020-02-28 08:20), 0.1.3 (2020-05-20 19:30), 0.1.4 (2020-07-02 16:40), 0.1.5 (2020-11-09 17:50), 0.1.6 (2021-07-14 23:30), 0.2.0 (2022-01-24 22:12), 1.0.0 (2022-06-01 23:30), 1.1.0 (2022-06-10 17:30), 1.2.0 (2022-06-30 15:50), 1.3.0 (2023-03-30 11:20), 1.3.1 (2024-02-02 16:20)
Other packages that cited hardhat R package
View hardhat citation profile
Other R packages that hardhat depends, imports, suggests or enhances
Complete documentation for hardhat
Functions, R codes and Examples using the hardhat R package
Some associated functions: add_intercept_column . contr_one_hot . default_formula_blueprint . default_recipe_blueprint . default_xy_blueprint . delete_response . extract_ptype . fct_encode_one_hot . forge . frequency_weights . get_data_classes . get_levels . hardhat-example-data . hardhat-extract . hardhat-package . importance_weights . is_blueprint . is_case_weights . is_frequency_weights . is_importance_weights . model_frame . model_matrix . model_offset . modeling-usethis . mold . new-blueprint . new-default-blueprint . new_case_weights . new_frequency_weights . new_importance_weights . new_model . recompose . refresh_blueprint . run-forge . run-mold . scream . shrink . spruce-multiple . spruce . standardize . tune . update_blueprint . validate_column_names . validate_no_formula_duplication . validate_outcomes_are_binary . validate_outcomes_are_factors . validate_outcomes_are_numeric . validate_outcomes_are_univariate . validate_prediction_size . validate_predictors_are_numeric . weighted_table . 
Some associated R codes: blueprint-formula-default.R . blueprint-formula.R . blueprint-recipe-default.R . blueprint-recipe.R . blueprint-xy-default.R . blueprint-xy.R . blueprint.R . case-weights.R . classes.R . compost.R . constructor.R . delete-response.R . encoding.R . extract.R . forge.R . hardhat-example-data.R . hardhat-package.R . import-standalone-obj-type.R . import-standalone-purrr.R . import-standalone-types-check.R . intercept.R . levels.R . model-frame.R . model-matrix.R . model-offset.R . mold.R . new.R . print.R . ptype.R . recompose.R . scream.R . shrink.R . spruce.R . standardize.R . table.R . tune.R . use.R . util.R . validation.R .  Full hardhat package functions and examples
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